人脸检测dlib, mtcnnx对比，FDDB测试对比

#include <iostream>
#include <dlib/dnn.h>
#include <dlib/data_io.h>
#include <dlib/image_processing.h>
#include <dlib/gui_widgets.h>
using namespace std;
using namespace dlib;

// ----------------------------------------------------------------------------------------

template <long num_filters, typename SUBNET> using con5d = con<num_filters,5,5,2,2,SUBNET>;
template <long num_filters, typename SUBNET> using con5  = con<num_filters,5,5,1,1,SUBNET>;

template <typename SUBNET> using downsampler  = relu<affine<con5d<32, relu<affine<con5d<32, relu<affine<con5d<16,SUBNET>>>>>>>>>;
template <typename SUBNET> using rcon5  = relu<affine<con5<45,SUBNET>>>;

using net_type = loss_mmod<con<1,9,9,1,1,rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;

// ----------------------------------------------------------------------------------------

void getAllImgPaths(const std::string& file, std::vector<std::string>& vecPaths){

    std::fstream fStream(file);
    std::string sLine;

    while (std::getline(fStream, sLine)){
        if (sLine.size() > 0){
            vecPaths.emplace_back(sLine);
        }
    }

    fStream.close();
}

void writeStrVecToFile(const std::string& file, const std::vector<std::string>& vecStr){
    std::ofstream fout(file);
    for (auto const& x:vecStr){
        fout<<x<<'\n';
    }

    fout.close();
}



int main(){

    std::string fPath = "/home/xy/face_sample/evaluation/compareROC/FDDB-folds/filePath.txt";
    std::vector<std::string> vecImgPaths;

    getAllImgPaths(fPath, vecImgPaths);

    std::string imgBaseDir = "/home/xy/face_sample/evaluation/compareROC/originalPics/";
    std::vector<std::string> vecDetRet;

    string model_path = "/home/xy/anaconda2/lib/python2.7/site-packages/face_recognition_models/models/mmod_human_face_detector.dat";
    net_type net;
    deserialize(model_path) >> net;

    for (auto const& img_name:vecImgPaths){
        std::string imgFullPath = imgBaseDir + img_name + ".jpg";

        matrix<rgb_pixel> img;
        load_image(img, imgFullPath);

        auto dets = net(img);
        vecDetRet.push_back(img_name);
        vecDetRet.push_back(std::to_string(dets.size()));

        for (auto det:dets){

            using std::to_string;

            // sFaceInfo like 49 55 193 193 0.999784
            std::string sFaceInfo = to_string(det.rect.left()) + " " + to_string(det.rect.top()) + " " +
                                    to_string(det.rect.width()) + " " + to_string(det.rect.height()) + " " + to_string(1);

            std::cout<<sFaceInfo<<std::endl;
            vecDetRet.push_back(sFaceInfo);

        }

    }

    // write face detect result to txt file for fddb compare
    std::string fddbTxtPath = "fddb_ret.txt";
    writeStrVecToFile(fddbTxtPath, vecDetRet);
}